A multi-agent LLM framework enables interactive explanations for planning problems and is evaluated against template-based interfaces in a user study on goal conflicts.
Nguyen, Anna Sidorova, and Russell Torres
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Medium personality expression in LLM agents yields the most positive user perceptions in goal-oriented tasks, further improved by trait alignment.
citing papers explorer
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Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning
A multi-agent LLM framework enables interactive explanations for planning problems and is evaluated against template-based interfaces in a user study on goal conflicts.
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Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
Medium personality expression in LLM agents yields the most positive user perceptions in goal-oriented tasks, further improved by trait alignment.